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BioMed Research International
Volume 2015 (2015), Article ID 168189, 9 pages
Research Article

A Population-Based Model to Consider the Effect of Seasonal Variation on Serum 25(OH)D and Vitamin D Status

1Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne (CHUV), 1010 Lausanne, Switzerland
2Biomedicine, University Hospital of Lausanne, 1011 Lausanne, Switzerland
3Department of Genetic and Laboratory Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland
4Unit of Population Epidemiology, Division of Primary Care Medicine, Department of Community Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland
5Department of Internal Medicine, Internal Medicine, University Hospital of Lausanne (CHUV), 1011 Lausanne, Switzerland
6Department for Ambulatory Care and Community Medicine, University of Lausanne, 1011 Lausanne, Switzerland
7Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA

Received 30 April 2015; Accepted 16 August 2015

Academic Editor: Sebastian Straube

Copyright © 2015 Philippe Vuistiner et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The supplementary material displays the number (%) of participants included in the analysis, by month (Table S1), the mean (SD) 25(OH)D levels for different period of the year and categories of participants (Table S2), a scatter plot with Passing & Bablok Fit (Figure S1), quantiles of 25(OH)D according to the date of measurement (horizontal units expressed in week of measurements), for men and women with a BMI equal to the median value (Figure S2), quantiles of 25(OH)D predicted as a function of BMI for a given day of measurement (August 22nd was found to be the day with the highest predicted 25(OH)D values, for both men and women) (Figure S3), and histogram and empirical cumulative distribution function (ECDF) of the quantiles predicted with the model, using the data from CoLaus (N=4,912) (Figure S4).

  1. Supplementary Material